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dc.contributor.authorForgan, Duncan
dc.contributor.authorBonnell, Ian
dc.contributor.authorLucas, William
dc.contributor.authorRice, Ken
dc.date.accessioned2016-06-08T10:30:09Z
dc.date.available2016-06-08T10:30:09Z
dc.date.issued2016-04-11
dc.identifier243134025
dc.identifier88ea891a-f7d9-4bb7-87a0-b1fa4c69b7d3
dc.identifier84976892850
dc.identifier000373583900017
dc.identifier.citationForgan , D , Bonnell , I , Lucas , W & Rice , K 2016 , ' Tensor classification of structure in smoothed particle hydrodynamics density fields ' , Monthly Notices of the Royal Astronomical Society , vol. 457 , no. 3 , pp. 2501-2513 . https://doi.org/10.1093/mnras/stw103en
dc.identifier.issn0035-8711
dc.identifier.otherRIS: urn:2D022CB1AA3DF6203D68BC8A8F4B9D60
dc.identifier.otherORCID: /0000-0002-5263-2427/work/39296512
dc.identifier.urihttps://hdl.handle.net/10023/8948
dc.descriptionDF, IB and WL gratefully acknowledge support from the ‘ECOGAL’ ERC advanced grant. KR gratefully acknowledges support from STFC grant ST/M001229/1.en
dc.description.abstractAs hydrodynamic simulations increase in scale and resolution, identifying structures with non-trivial geometries or regions of general interest becomes increasingly challenging. There is a growing need for algorithms that identify a variety of different features in a simulation without requiring a ‘by eye’ search. We present tensor classification as such a technique for smoothed particle hydrodynamics (SPH). These methods have already been used to great effect in N-Body cosmological simulations, which require smoothing defined as an input free parameter. We show that tensor classification successfully identifies a wide range of structures in SPH density fields using its native smoothing, removing a free parameter from the analysis and preventing the need for tessellation of the density field, as required by some classification algorithms. As examples, we show that tensor classification using the tidal tensor and the velocity shear tensor successfully identifies filaments, shells and sheet structures in giant molecular cloud simulations, as well as spiral arms in discs. The relationship between structures identified using different tensors illustrates how different forces compete and co-operate to produce the observed density field. We therefore advocate the use of multiple tensors to classify structure in SPH simulations, to shed light on the interplay of multiple physical processes.
dc.format.extent13
dc.format.extent4456191
dc.language.isoeng
dc.relation.ispartofMonthly Notices of the Royal Astronomical Societyen
dc.subjectMethods: numericalen
dc.subjectStars: formationen
dc.subjectISM: kinematics and dynamicsen
dc.subjectQB Astronomyen
dc.subjectQC Physicsen
dc.subjectNDASen
dc.subject.lccQBen
dc.subject.lccQCen
dc.titleTensor classification of structure in smoothed particle hydrodynamics density fieldsen
dc.typeJournal articleen
dc.contributor.sponsorEuropean Research Councilen
dc.contributor.institutionUniversity of St Andrews. School of Physics and Astronomyen
dc.identifier.doi10.1093/mnras/stw103
dc.description.statusPeer revieweden
dc.identifier.grantnumberen


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